Ankara : The Department of Electrical and Electronics Engineering and the Institute of Engineering and Sciences of Bilkent Univ., 1998.Thesis (Master's) -- Bilkent University, 1998.Includes bibliographical references leaves 43-45.Recently blind identification of single-input multiple-output (SIMO) FIR
channels has received considerable attention. The obtained exact identification
approaches place over-restrictive constraints on the channels. In this
thesis least set of constraints on the channels are placed and the noise-free
blind channel identification problem is solved in two stages: The identification
of the uncommon zeros followed by the identification of the common zeros
of the channels. The minimum number of samples required to identify the
uncommon zeros is specified, and closed form solutions are obtained. Also a
binary-tree algorithm is proposed for the computation of the uncommon zeros
efficiently. Then the common zeros of the channels are identified by a novel
pruning algorithm. Finally a simulation example is presented to illustrate these
ideas.Özdemir, Ahmet KemalM.S
